Pauli-Lindbladian based noise modeling and mitigation
Systems, computer-implemented methods or computer program products to facilitate mitigating quantum errors associated with one or more quantum gates. A noise modeling component can generate a sparse error model of noise associated with one or more quantum gates; employ the sparse error model; and draw samples from an inverse noise model. An insertion component can insert the samples to mitigate errors associated with the one or more quantum gates. The insertion component can reduce the noise by running circuit instances augmented with samples from the inverse noise model. The noise modeling component includes a noise shaping component that can shape the noise affecting one or more quantum gates by twirling to form a Pauli channel.
1. A system comprising:
a memory that stores computer executable components; and
a processor, operably coupled to the memory, and that executes at least one of the computer executable components that:
generates a sparse Pauli-Lindblad error model of respective noise of layers comprising noisy two-qubit gates of a quantum circuit, wherein the quantum circuit comprises the layers comprising the noisy two-qubit gates interleaved with at least one layer comprising single-qubit gates;
generates an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
obtains samples from the inverse noise model;
inserts the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit; and
executes, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.
2. The system of claim 1 , wherein the at least one of the computer executable components further:
averages measured expectation values from the instances to generate averaged results; and
scales the averaged results via a defined noise-specific constant.
3. The system of claim 2 , wherein the at least one of the computer executable components further:
generates the sparse Pauli-Lindblad error model via a sparse Pauli fidelity measurement protocol.
4. The system of claim 1 , wherein the sparse Pauli-Lindblad error model is a parsimonious error model.
5. The system of claim 1 , the at least one of the computer executable components-further:
shapes the respective noise by twirling one or more gates of the quantum circuit to form a Pauli channel.
6. The system of claim 1 , wherein the at least one of the computer executable components further:
regenerates the sparse Pauli-Lindblad error model at a defined time interval to counter time-dependent fluctuations of the respective noise.
7. The system of claim 1 , wherein generating the sparse Pauli-Lindblad error model comprises:
learning the sparse Pauli-Lindblad error model based on running benchmark quantum circuits at different depths for a plurality of measurement bases.
8. A computer implemented method of mitigating quantum errors, comprising:
generating, by a system comprising a processor, generates a sparse Pauli-Lindblad error model of respective noise of layers comprising noisy two-qubit gates of a quantum circuit, wherein the quantum circuit comprises the layers comprising the noisy two-qubit gates interleaved with at least one layer comprising single-qubit gates;
generating, by the system, an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
obtaining, by the system, samples from the inverse noise model;
inserting, by the system, the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit; and
executing, by the system, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.
9. The computer implemented method of claim 8 , further comprising:
averaging, by the system, measured expectation values from the instances to generate averaged results; and
scaling, by the system, the averaged results via a defined noise-specific constant.
10. The computer implemented method of claim 8 , further comprising:
generating the sparse Pauli-Lindblad error model via a sparse Pauli fidelity measurement protocol.
11. The computer implemented method of claim 8 , wherein the sparse Pauli-Lindblad error model is a parsimonious error model.
12. The computer implemented method of claim 8 , further comprising:
shaping, by the system, the respective noise by twirling one or more gates of the quantum circuit to form a Pauli channel.
13. The computer implemented method of claim 8 , further comprising:
regenerating, by the system, the sparse Pauli-Lindblad error model at a defined time interval to counter time-dependent fluctuations of the respective noise.
14. The computer implemented method of claim 8 , wherein generating the sparse Pauli-Lindblad error model comprises:
learning the sparse Pauli-Lindblad error model based on running benchmark quantum circuits at different depths for a plurality of measurement bases.
15. A computer program product for mitigating quantum errors, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
generate a sparse Pauli-Lindblad error model of respective noise of layers comprising noisy two-qubit gates of a quantum circuit, wherein the quantum circuit comprises the layers comprising the noisy two-qubit gates interleaved with at least one layer comprising single-qubit gates;
generate an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
obtain samples from the inverse noise model;
insert the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit and
execute, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.
16. The computer program product of claim 15 , wherein the program instructions further cause the processor to:
average measured expectation values from the instances to generate averaged results; and scale the averaged results via a defined noise-specific constant.
17. The computer program product of claim 15 , wherein the program instructions further cause the processor to:
generate the sparse Pauli-Lindblad error model via a sparse Pauli fidelity measurement protocol.
18. The computer program product of claim 15 , wherein the sparse Pauli-Lindblad error model is a parsimonious error model.
19. The computer program product of claim 15 , wherein the program instructions further cause the processor to:
shape the respective noise by twirling one or more gates of the quantum circuit to form a Pauli channel.
20. The computer program product of claim 15 , wherein the program instructions further cause the processor to:
regenerate the sparse Pauli-Lindblad error model at a defined time interval to counter time-dependent fluctuations of the respective noise.